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» Using Formal Concept Analysis for Microarray Data Comparison
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NIPS
2008
13 years 9 months ago
Interpreting the neural code with Formal Concept Analysis
We propose a novel application of Formal Concept Analysis (FCA) to neural decoding: instead of just trying to figure out which stimulus was presented, we demonstrate how to explor...
Dominik Endres, Peter Földiák
ICSE
2008
IEEE-ACM
14 years 7 months ago
Formal concept analysis applied to fault localization
One time-consuming task in the development of software is debugging. Recent work in fault localization crosschecks traces of correct and failing execution traces, it implicitly se...
Peggy Cellier
KDID
2004
140views Database» more  KDID 2004»
13 years 9 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
SAC
2010
ACM
14 years 2 months ago
Background knowledge in formal concept analysis: constraints via closure operators
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
Radim Belohlávek, Vilém Vychodil
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Extended analysis of benchmark datasets for Agilent two-color microarrays
Background: As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on fiv...
Kathleen F. Kerr